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HSI Implementation in Complex System Design Process

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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 824))

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Abstract

The implementation of human factors engineering in the development of complex systems can be challenging. For this reason, we sometimes see that the subject is not part of the routine design process in small companies, as well as in well-founded corporates.

The result can be more than just “poor usability”, which requires users to “fight” inefficient procedures to operate a system. The effect can usually be financially measurable. Some of the costly consequences are:

  • Long non-productive times

  • Longer training time and higher probability for errors

  • Difficult maintenance accessibility

  • Probability of significant ergonomic risk factors

  • Frustrated and low motivated workers

  • Sales impact

The negative effects lead firms to seek methods and practices to involve human factors engineering in. their workflow. The concerns accompanied with this will, relate to extending the R&D time, complicating procedures, and increasing in the total project cost.

The human system integration (HSI) approach addresses these concerns by providing a systematic point of view in integrating the touch points of the human with the product.

A good and effective approach takes into consideration, in addition to design procedures, also the path that the organization should take in order to accept and acknowledge the contribution of an additional discipline. Understanding the importance of aspects of operation, efficiency, and maintainability in addition to technical aspects such as performance and reliability.

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Correspondence to Yakir Yaniv .

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Yaniv, Y. (2019). HSI Implementation in Complex System Design Process. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-96071-5_94

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